Correlation Between Datadog and Old Dominion

Can any of the company-specific risk be diversified away by investing in both Datadog and Old Dominion at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Datadog and Old Dominion into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Datadog and Old Dominion Freight, you can compare the effects of market volatilities on Datadog and Old Dominion and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Datadog with a short position of Old Dominion. Check out your portfolio center. Please also check ongoing floating volatility patterns of Datadog and Old Dominion.

Diversification Opportunities for Datadog and Old Dominion

0.13

Correlation Coefficient

Datadog  Old Dominion

Average diversification

The 3 months correlation between Datadog and Old is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Datadog and Old Dominion Freight in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Old Dominion Freight and Datadog is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Datadog are associated (or correlated) with Old Dominion. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Old Dominion Freight has no effect on the direction of Datadog i.e., Datadog and Old Dominion go up and down completely randomly.

Pair Corralation between Datadog and Old Dominion

Given the investment horizon of 90 days Datadog is expected to generate 1.78 times more return on investment than Old Dominion. However, Datadog is 1.78 times more volatile than Old Dominion Freight. It trades about -0.07 of its potential returns per unit of risk. Old Dominion Freight is currently generating about -0.72 per unit of risk. If you would invest  15,275  in Datadog on September 29, 2024 and sell it today you would lose (676.00) from holding Datadog or give up 4.43% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

Datadog  vs.  Old Dominion Freight

Datadog

Risk-Adjusted Performance

12 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Datadog are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. Despite nearly weak basic indicators, Datadog reported solid returns over the last few months and may actually be approaching a breakup point.

Old Dominion Freight

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Old Dominion Freight has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest inconsistent performance, the Stock's technical and fundamental indicators remain persistent and the latest mess on Wall Street may also be a sign of long-standing gains for the company institutional investors.

Pair Trading with Datadog and Old Dominion

The main advantage of trading using opposite Datadog and Old Dominion positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Datadog position performs unexpectedly, Old Dominion can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Old Dominion will offset losses from the drop in Old Dominion's long position.

The idea behind Datadog and Old Dominion Freight pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.